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Json Data Handling

Checked
bobmatnyc·vlatest·data·MIT

Helps with JSON, data as part of developing backend services and APIs workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add bobmatnyc/claude-mpm-skills --skill json-data-handling -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

bobmatnyc

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned bobmatnyc/claude-mpm-skills at 718070a7d6.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
718070a7d6
Manifest
universal/data/json-data-handling/SKILL.md
Scanned
2 files, 232 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to parse, validate, and manipulate JSON data structures efficiently. It allows agents to extract specific fields from complex nested objects and transform raw data into usable formats for downstream applications.

When to use it

  • Processing API responses containing user profiles or transaction logs.
  • Validating incoming webhooks against a predefined schema before storage.
  • Extracting specific metrics from large datasets for analysis or reporting.
  • Converting unstructured JSON inputs into structured formats like CSV or XML.

Key capabilities

  • Deep parsing of nested JSON objects and arrays.
  • Validation of data integrity against standard JSON schemas.
  • Extraction of specific keys regardless of object depth.
  • Transformation of data types within the JSON structure.

Example prompts

  • "Parse this API response and extract only the user_id and status fields into a new object."
  • "Validate the following customer data against our standard schema and list any missing required fields."
  • "Convert this nested JSON configuration file into a flat key-value format for easy logging."

Tips & gotchas

Ensure your AI agent has access to the full JSON payload; partial inputs may lead to incomplete parsing results. For complex validation, provide a clear schema definition to avoid ambiguous error handling.